Microsoft Technology Licensing, LLC

Seung Ho Lee

Charles Loboz

Suman Kumar Nath

Zhongsheng Yuan

Oliver Andrzej Kennedy

Slawomir Smyl

The subject disclosure is directed towards using fingerprints, comprising lists of simulation results corresponding to partial (random sampled) simulation results, to determine whether a full simulation may be avoided by reusing simulation results from a previous full simulation. Before running a full simulation, a current fingerprint is obtained via a partial simulation. If a previous fingerprint matches (is identical or similar to) the current fingerprint, the associated previous results are reused. Also described is indexing fingerprint data to facilitate efficient lookup-based fingerprint matching.

Efficient optimization over uncertain data

Analysis may be made of the amount that a load on a machine impacts the machine's performance. Performance counters on the machine record raw statistical data, such as a given resource's current utilization. The values of these counters may be captured. A n-bin histogram may be created that shows how many of the captured performance counter values occur within various ranges, such as 0-10% utilization, 10-20%, etc. A weight may be assigned to each bin. A weighted sum of the bins may be calculated by multiplying the number of occurrences in each bin by the bin's weight, and adding the products together. The weights may be chosen to reflect the relative amounts that particular performance counter values impact the overall performance of a machine. Thus, a metric that represents performance impact may be calculated based on the weighted sum.

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Bellevue, WA, United States of America

Seung Ho Lee